121–130 of 223 posts
Earlier quoted context omitted.
>The SQL server is always going to be our source of truth, probably. ES is not supposed to be your source of truth.
Can you elaborate on the reasons for this?
This has been a great thread, and there's some heavyweight indexes here. But what about at the other end of the scale? Say when you've got 10k-50k contact details (name, email, phone) and you want to provide a quick, autocomplete lookup. I've used basic SQL string matching for this, but it doesn't catch mis-spellings and the rest. Running SOLR or ES is overkill for this. Is there a tool that fits this niche?
This has been a great thread, and there's some heavyweight indexes here. But what about at the other end of the scale? Say when you've got 10k-50k contact details (name, email, phone) and you want to provide a quick, autocomplete lookup. I've used basic SQL string matching for this, but it doesn't catch mis-spellings and the rest. Running SOLR or ES is overkill for this. Is there a tool that fits this niche?
This has been a great thread, and there's some heavyweight indexes here. But what about at the other end of the scale? Say when you've got 10k-50k contact details (name, email, phone) and you want to provide a quick, autocomplete lookup. I've used basic SQL string matching for this, but it doesn't catch mis-spellings and the rest. Running SOLR or ES is overkill for this. Is there a tool that fits this niche?
Afaik almost everything runs Lucene under the hood, it's 20 years old, no one is going to build something as good any time soon. I suppose some company like Google have their own in house solution but otherwise it'll always be something built on top of Lucene. I guess you don't see much demand because for a lot of use cases the basic setups are good enough.
There's folks working on Bleve (written in Go) and developers that I work with want to use it (we use Elasticsearch heavily), but as I've told everyone like you just did, Lucene has a 20 year head start. Thing is, there's heavy demand for something more performant than Elasticsearch, so eventually the market will provide. Meanwhile, Redis Enterprise is trying to grab some 'share with RediSearch, which has some severe…
Disclaimer: I’m a previous employee but have no economic interests in this as it’s not a publicly traded company.
Elasticsearch, definitely. I always recommend using it in hosted form and not running your own cluster. That allows you to focus on getting data in and out of your cluster instead of sinking time into doing devops. While I have not used Solr recently, it has evolved along with ES as a solid product with a solid community. Nothing against it; it's a solid choice and there are probably people offering to host that as w…
> Elasticsearch, definitely. I always recommend using it in hosted form and not running your own cluster. That allows you to focus on getting data in and out of your cluster instead of sinking time into doing devops. I think everyone doing Elasticsearch well has to bring it in-house eventually. AWS's hosted solution is poor, Logz.io and ElasticCloud are expensive. There's a 7-figure/yr Elastic Cloud customer I work w…
That is because Elastic Cloud is not a fully managed Elasticsearch. People often don't get that with Elastic Cloud you are still responsible for your ES cluster. That's one of the differentiators that e.g. Sematext has (disclaimer: founder).
> AWS's hosted solution is poor, Logz.io and ElasticCloud are expensive.
Right. Have a look at https://sematext.com/logsene pricing. People say Sematext compares favorably to Logz.io and Elastic Cloud.
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I am very interested in hearing about your experiences migrating to vespa. When it was opensourced we all thought it would be an absolute game-changer, but I see so few people building new products (or migrating existing products to) vespa.
You can contact me. I'm also planning to do a blog post comparing with Solr and Elasticsearch. I think that naturally it takes some time to adopt a solution like that. And the ecosystem it still at it infancy. But, randomly, a project using Vespa appeared in my GitHub timeline today ( https://github.com/rdoume/News_API ). So, the adoption is increasing. For me Vespa is a absolute game-change, in features and as someo…
This may be of interest to you: https://sematext.com/opensee/report/project/trend?q=ElasticS...
Would you happen to know how Vespa compares to ES in terms of memory or CPU footprint? Have you done apples to apples comparison by any chance?
Are people still using Sphinx Search ( http://sphinxsearch.com ) at all? It doesn't seem like it gets many releases anymore...since they unpublished the source code, it's hard to see how much activity there is.